The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-04"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "35150468 (up from 34902647 yesterday: 0.71 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1036941 (up from 1033177 yesterday: 0.36 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6155644

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.95



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7417845 35504 0.48 898272 209721 337 0.16 2.83
India 6623815 74442 1.14 1777388 102685 903 0.89 1.55
Brazil 4915289 8456 0.17 584834 146352 365 0.25 2.98
Russia 1209039 10376 0.87 150015 21260 107 0.51 1.76
Colombia 855052 6905 0.81 138733 26712 156 0.59 3.12
Peru 821564 0 0.00 98732 32609 0 0.00 3.97
Argentina 798486 7668 0.97 242949 21018 223 1.07 2.63
Spain 789932 0 0.00 223606 32086 0 0.00 4.06
Mexico 761665 3712 0.49 93284 79088 208 0.26 10.38
South Africa 681289 1573 0.23 31496 16976 38 0.22 2.49
France 629509 0 0.00 226616 32171 0 0.00 5.11
United Kingdom 505619 22965 4.76 134689 42440 33 0.08 8.39
Iran 471772 3653 0.78 69743 26957 211 0.79 5.71
Chile 470179 1708 0.36 35431 12979 60 0.46 2.76
Iraq 379141 3210 0.85 88832 9399 52 0.56 2.48
Bangladesh 368690 1125 0.31 31170 5348 23 0.43 1.45
Saudi Arabia 336387 390 0.12 10736 4875 25 0.52 1.45
Italy 325329 2578 0.80 37576 35986 18 0.05 11.06
Turkey 324443 1429 0.44 33281 8441 57 0.68 2.60
Philippines 322497 3167 0.99 61281 5776 98 1.73 1.79
Pakistan 314616 0 0.00 12596 6513 0 0.00 2.07
Indonesia 303498 3992 1.33 85116 11151 96 0.87 3.67
Germany 301573 1546 0.52 39836 9533 2 0.02 3.16
Israel 266775 2332 0.88 111171 1719 37 2.20 0.64
Ukraine 232424 4263 1.87 74302 4495 44 0.99 1.93
Canada 168501 2141 1.29 29861 9533 45 0.47 5.66
Netherlands 141226 4032 2.94 55350 6508 5 0.08 4.61
Ecuador 141034 683 0.49 22440 11647 50 0.43 8.26
Bolivia 136868 299 0.22 10077 8101 28 0.35 5.92
Romania 135900 1835 1.37 32405 5003 56 1.13 3.68
Morocco 133272 2044 1.56 46586 2330 37 1.61 1.75
Belgium 130235 2612 2.05 36780 10064 20 0.20 7.73
Qatar 126498 159 0.13 4758 216 0 0.00 0.17
Panama 115286 633 0.55 13541 2423 9 0.37 2.10
Dominican Republic 114480 554 0.49 10820 2134 6 0.28 1.86
Kazakhstan 108236 59 0.05 1381 1725 0 0.00 1.59
Kuwait 107025 567 0.53 12261 624 4 0.65 0.58
Egypt 103683 108 0.10 2674 5981 11 0.18 5.77
Oman 101270 2685 2.72 11524 977 42 4.49 0.96
Poland 100074 1934 1.97 25922 2630 26 1.00 2.63
United Arab Emirates 98801 1041 1.06 19312 426 0 0.00 0.43
Sweden 94283 0 0.00 7778 5895 0 0.00 6.25
Guatemala 93963 215 0.23 12054 3293 8 0.24 3.50
China 90629 25 0.03 432 4739 0 0.00 5.23
Nepal 86823 2253 2.66 32664 535 7 1.33 0.62
Japan 85746 401 0.47 10100 1598 4 0.25 1.86
Czechia 82446 1841 2.28 46258 727 16 2.25 0.88
Belarus 79852 0 0.00 5679 851 0 0.00 1.07
Honduras 79629 841 1.07 11840 2422 23 0.96 3.04
Costa Rica 79182 0 0.00 23728 950 0 0.00 1.20
Portugal 79151 904 1.16 15168 2005 10 0.50 2.53
Ethiopia 78819 959 1.23 14518 1222 8 0.66 1.55
Venezuela 78434 788 1.01 17894 653 4 0.62 0.83
Bahrain 72662 352 0.49 12355 260 2 0.78 0.36
Nigeria 59345 58 0.10 3089 1113 0 0.00 1.88
Uzbekistan 58612 374 0.64 11325 480 3 0.63 0.82
Singapore 57812 12 0.02 406 27 0 0.00 0.05
Moldova 56579 691 1.24 13601 1366 13 0.96 2.41
Switzerland 54384 0 0.00 7205 2077 1 0.05 3.82
Armenia 52496 571 1.10 6634 977 5 0.51 1.86
Algeria 52136 141 0.27 3882 1760 4 0.23 3.38
Austria 48146 714 1.51 14987 813 4 0.49 1.69
Kyrgyzstan 47428 244 0.52 2547 1066 0 0.00 2.25
Ghana 46829 26 0.06 1395 303 0 0.00 0.65
Lebanon 44482 988 2.27 20172 406 8 2.01 0.91
Paraguay 44182 730 1.68 16365 929 16 1.75 2.10
West Bank and Gaza 41498 420 1.02 10924 330 1 0.30 0.80
Azerbaijan 40691 130 0.32 2364 596 1 0.17 1.46
Kenya 39427 243 0.62 3270 731 3 0.41 1.85
Afghanistan 39341 44 0.11 625 1462 0 0.00 3.72
Ireland 38032 364 0.97 7047 1810 0 0.00 4.76
Libya 36809 722 2.00 14028 592 14 2.42 1.61
Serbia 33901 59 0.17 1493 754 1 0.13 2.22
Hungary 30575 858 2.89 18266 822 10 1.23 2.69
Denmark 30168 379 1.27 9841 658 4 0.61 2.18
El Salvador 29450 92 0.31 2522 863 6 0.70 2.93
Bosnia and Herzegovina 28354 379 1.35 4889 879 8 0.92 3.10
Australia 27148 13 0.05 456 894 0 0.00 3.29
Korea, South 24164 73 0.30 1879 422 1 0.24 1.75
Tunisia 22230 1286 6.14 15595 321 45 16.30 1.44
Bulgaria 21587 69 0.32 3669 844 3 0.36 3.91
Cameroon 20924 0 0.00 757 420 0 0.00 2.01
Cote d’Ivoire 19882 33 0.17 869 120 0 0.00 0.60
Greece 19842 229 1.17 6602 409 4 0.99 2.06
North Macedonia 18790 188 1.01 2999 756 3 0.40 4.02
Burma 17794 1291 7.82 14779 412 41 11.05 2.32
Croatia 17659 258 1.48 4126 298 5 1.71 1.69
Madagascar 16558 29 0.18 801 232 0 0.00 1.40
Jordan 15640 891 6.04 12326 101 13 14.77 0.65
Senegal 15094 26 0.17 814 312 0 0.00 2.07
Zambia 15052 78 0.52 1513 333 0 0.00 2.21
Norway 14457 95 0.66 2303 275 0 0.00 1.90
Albania 14266 149 1.06 2913 396 4 1.02 2.78
Sudan 13653 0 0.00 137 836 0 0.00 6.12
Slovakia 13139 818 6.64 7607 55 1 1.85 0.42
Kosovo 12683 0 0.00 0 488 0 0.00 3.85
Malaysia 12381 293 2.42 2466 137 0 0.00 1.11
Montenegro 12127 193 1.62 5415 179 5 2.87 1.48
Namibia 11626 54 0.47 1907 123 0 0.00 1.06
Congo (Kinshasa) 10760 8 0.07 370 274 0 0.00 2.55
Guinea 10754 19 0.18 709 66 0 0.00 0.61
Finland 10538 147 1.41 1958 345 0 0.00 3.27
Maldives 10530 65 0.62 1357 34 0 0.00 0.32

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 832713 3192 0.38 70985 16147 32 0.20 1.94 21074.82 408.66 1 in 47
Texas 790194 2769 0.35 108309 16320 25 0.15 2.07 27251.94 562.84 1 in 37
Florida 716459 1868 0.26 52465 14671 43 0.29 2.05 33358.22 683.08 1 in 30
New York 464582 1222 0.26 20217 33205 8 0.02 7.15 23881.59 1706.89 1 in 42
Georgia 322925 756 0.23 28611 7162 29 0.41 2.22 30414.63 674.55 1 in 33
Illinois 304235 1453 0.48 40776 9040 17 0.19 2.97 24008.78 713.39 1 in 42
Arizona 220754 355 0.16 12242 5706 1 0.02 2.58 28989.77 749.32 1 in 34
North Carolina 217496 610 0.28 32560 3634 5 0.14 1.67 20737.44 346.49 1 in 48
New Jersey 208202 626 0.30 11568 16136 1 0.01 7.75 23440.39 1816.67 1 in 43
Tennessee 201210 1615 0.81 29386 2577 17 0.66 1.28 29446.05 377.13 1 in 34
Louisiana 168294 893 0.53 10839 5577 32 0.58 3.31 36201.65 1199.67 1 in 28
Pennsylvania 168126 1888 1.14 19491 8195 15 0.18 4.87 13132.80 640.13 1 in 76
Alabama 159169 789 0.50 20414 2558 0 0.00 1.61 32462.37 521.70 1 in 31
Ohio 158907 941 0.60 21502 4925 0 0.00 3.10 13594.46 421.33 1 in 74
Virginia 151642 1059 0.70 17900 3270 3 0.09 2.16 17766.00 383.10 1 in 56
South Carolina 151582 691 0.46 19718 3453 11 0.32 2.28 29440.75 670.65 1 in 34
Michigan 141271 0 0.00 18213 7124 0 0.00 5.04 14145.69 713.34 1 in 71
Massachusetts 134947 644 0.48 10121 9510 3 0.03 7.05 19418.22 1368.44 1 in 51
Missouri 134079 1449 1.09 30082 2186 9 0.41 1.63 21846.12 356.18 1 in 46
Wisconsin 132663 1865 1.43 43478 1377 5 0.36 1.04 22784.80 236.50 1 in 44
Maryland 127290 471 0.37 11180 3958 1 0.03 3.11 21054.70 654.68 1 in 47
Indiana 125146 1087 0.88 19342 3674 5 0.14 2.94 18589.12 545.73 1 in 54
Minnesota 103826 1039 1.01 19515 2133 7 0.33 2.05 18410.07 378.22 1 in 54
Mississippi 100488 321 0.32 10614 3013 2 0.07 3.00 33764.44 1012.38 1 in 30
Iowa 92744 443 0.48 18068 1387 6 0.43 1.50 29395.23 439.61 1 in 34
Oklahoma 90748 0 0.00 21394 1051 0 0.00 1.16 22933.70 265.61 1 in 44
Washington 89874 455 0.51 10048 2142 0 0.00 2.38 11802.40 281.29 1 in 85
Arkansas 87013 488 0.56 16794 1425 18 1.28 1.64 28833.02 472.19 1 in 35
Nevada 82100 392 0.48 8563 1623 3 0.19 1.98 26654.49 526.92 1 in 38
Utah 77618 1393 1.83 19743 478 2 0.42 0.62 24210.55 149.10 1 in 41
Colorado 73054 521 0.72 11761 2068 8 0.39 2.83 12685.77 359.11 1 in 79
Kentucky 72617 616 0.86 15672 1209 4 0.33 1.66 16253.88 270.61 1 in 62
Kansas 60980 255 0.42 12214 690 0 0.00 1.13 20931.49 236.84 1 in 48
Connecticut 58297 0 0.00 3971 4513 0 0.00 7.74 16351.28 1265.82 1 in 61
Puerto Rico 50675 300 0.60 13295 686 5 0.73 1.35 15867.21 214.80 1 in 63
Nebraska 47807 404 0.85 9619 501 4 0.80 1.05 24714.02 258.99 1 in 40
Idaho 43964 262 0.60 8685 482 2 0.42 1.10 24532.59 268.96 1 in 41
Oregon 34770 259 0.75 5433 572 1 0.18 1.65 8243.76 135.62 1 in 121
New Mexico 30477 181 0.60 3716 892 2 0.22 2.93 14534.80 425.40 1 in 69
Rhode Island 25076 0 0.00 2171 1118 0 0.00 4.46 23670.87 1055.35 1 in 42
South Dakota 24418 432 1.80 7780 248 0 0.00 1.02 27601.60 280.33 1 in 36
North Dakota 23550 416 1.80 7973 274 3 1.11 1.16 30903.00 359.55 1 in 32
Delaware 21243 118 0.56 2394 645 0 0.00 3.04 21815.35 662.38 1 in 46
West Virginia 16635 154 0.93 3930 364 1 0.28 2.19 9308.13 203.68 1 in 107
District of Columbia 15519 46 0.30 927 631 2 0.32 4.07 21989.40 894.09 1 in 45
Montana 14635 279 1.94 5614 187 1 0.54 1.28 13693.21 174.97 1 in 73
Hawaii 12804 70 0.55 2104 156 3 1.96 1.22 9043.19 110.18 1 in 111
New Hampshire 8645 48 0.56 949 443 1 0.23 5.12 6357.97 325.80 1 in 157
Alaska 8405 188 2.29 2137 58 0 0.00 0.69 11489.38 79.28 1 in 87
Wyoming 6504 139 2.18 2158 53 0 0.00 0.81 11237.84 91.58 1 in 89
Maine 5519 35 0.64 656 142 0 0.00 2.57 4105.75 105.64 1 in 244
Vermont 1785 7 0.39 101 58 0 0.00 3.25 2860.63 92.95 1 in 350

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 15160287 832713 5.49 2470271 70985 2.87 383686.0
2 Texas 6537885 790194 12.09 987746 108309 10.97 225476.3
3 Florida 5396874 716459 13.28 472944 52465 11.09 251277.6
4 New York 11220620 464582 4.14 1902327 20217 1.06 576790.0
5 Georgia 3018618 322925 10.70 416416 28611 6.87 284308.0
6 Illinois 5889157 304235 5.17 1151196 40776 3.54 464744.3
7 Arizona 1496131 220754 14.75 199994 12242 6.12 196474.3
8 North Carolina 3160968 217496 6.88 544860 32560 5.98 301386.6
9 New Jersey 3734094 208202 5.58 565564 11568 2.05 420402.4
10 Tennessee 2970388 201210 6.77 514239 29386 5.71 434701.1
11 Louisiana 2383670 168294 7.06 316940 10839 3.42 512750.2
12 Pennsylvania 2095170 168126 8.02 287289 19491 6.78 163659.7
13 Alabama 1162518 159169 13.69 139331 20414 14.65 237094.5
14 Ohio 3356675 158907 4.73 762845 21502 2.82 287162.8
15 Virginia 2113878 151642 7.17 347640 17900 5.15 247656.6
16 South Carolina 1378086 151582 11.00 306223 19718 6.44 267656.3
17 Michigan 3764274 141271 3.75 653664 18213 2.79 376922.8
18 Massachusetts 4334501 134947 3.11 1328343 10121 0.76 623713.8
19 Missouri 1350745 134079 9.93 222045 30082 13.55 220083.2
20 Wisconsin 1605641 132663 8.26 240504 43478 18.08 275768.0
21 Maryland 1659847 127290 7.67 204002 11180 5.48 274550.9
22 Indiana 1418063 125146 8.83 179079 19342 10.80 210638.3
23 Minnesota 2146411 103826 4.84 913106 19515 2.14 380594.2
24 Mississippi 739331 100488 13.59 116538 10614 9.11 248418.7
25 Iowa 785567 92744 11.81 102122 18068 17.69 248985.6
26 Oklahoma 1248391 90748 7.27 258861 21394 8.26 315491.6
27 Washington 1922956 89874 4.67 278371 10048 3.61 252525.7
28 Arkansas 1072343 87013 8.11 244122 16794 6.88 355336.4
29 Nevada 713389 82100 11.51 71314 8563 12.01 231608.1
30 Utah 860894 77618 9.02 144021 19743 13.71 268529.4
31 Colorado 1414336 73054 5.17 302764 11761 3.88 245598.3
32 Kentucky 1434524 72617 5.06 503772 15672 3.11 321089.8
33 Kansas 531117 60980 11.48 82187 12214 14.86 182306.8
34 Connecticut 1676410 58297 3.48 345426 3971 1.15 470203.4
36 Nebraska 473353 47807 10.10 72669 9619 13.24 244701.7
37 Idaho 316370 43964 13.90 39247 8685 22.13 176539.4
38 Oregon 705436 34770 4.93 92816 5433 5.85 167254.6
39 New Mexico 941512 30477 3.24 124242 3716 2.99 449017.1
40 Rhode Island 797014 25076 3.15 181331 2171 1.20 752353.5
41 South Dakota 199775 24418 12.22 35819 7780 21.72 225821.5
42 North Dakota 638320 23550 3.69 114750 7973 6.95 837622.1
43 Delaware 294089 21243 7.22 32793 2394 7.30 302012.6
44 West Virginia 590079 16635 2.82 106315 3930 3.70 330179.3
45 District of Columbia 399825 15519 3.88 69184 927 1.34 566525.8
46 Montana 357413 14635 4.09 77289 5614 7.26 334412.8
47 Hawaii 304149 12804 4.21 48750 2104 4.32 214813.9
48 New Hampshire 461049 8645 1.88 230507 949 0.41 339078.7
49 Alaska 476818 8405 1.76 75605 2137 2.83 651795.9
50 Wyoming 103568 6504 6.28 17131 2158 12.60 178948.4
51 Maine 449341 5519 1.23 119173 656 0.55 334278.4
52 Vermont 166520 1785 1.07 15847 101 0.64 266863.7

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1453653 10244 0.71 1162585 79.98 252277 38347 263 0.69 2.64
Andhra Pradesh 723512 4256 0.59 666433 92.11 51060 6019 38 0.64 0.83
Karnataka 647712 7051 1.10 522846 80.72 115477 9370 84 0.90 1.45
Tamil Nadu 625391 5395 0.87 569664 91.09 45881 9846 62 0.63 1.57
Uttar Pradesh 417437 2971 0.72 366321 87.75 45024 6092 63 1.04 1.46
Delhi 292560 1947 0.67 263938 90.22 23080 5542 32 0.58 1.89
West Bengal 273679 3348 1.24 240707 87.95 27717 5255 61 1.17 1.92
Odisha 235330 2617 1.12 206400 87.71 27953 977 17 1.77 0.42
Kerala 234929 5042 2.19 149111 63.47 84876 860 23 2.75 0.37
Telangana 200611 1335 0.67 172388 85.93 27052 1171 8 0.69 0.58
Bihar 188858 907 0.48 176674 93.55 11259 924 9 0.98 0.49
Assam 187718 1518 0.82 153488 81.77 33467 760 11 1.47 0.40
Rajasthan 146195 2165 1.50 123421 84.42 21215 1559 14 0.91 1.07
Gujarat 144026 1327 0.93 123870 86.01 16644 3512 13 0.37 2.44
Madhya Pradesh 137098 1460 1.08 115878 84.52 18757 2463 29 1.19 1.80
Haryana 134909 1031 0.77 121596 90.13 11822 1491 21 1.43 1.11
Chhattisgarh 126005 2681 2.17 97067 77.03 27857 1081 37 3.54 0.86
Punjab 119186 1029 0.87 102648 86.12 12897 3641 38 1.05 3.05
Jharkhand 88026 816 0.94 76843 87.30 10436 747 4 0.54 0.85
Jammu and Kashmir 79738 632 0.80 63790 80.00 14696 1252 10 0.81 1.57
Uttarakhand 51991 510 0.99 42368 81.49 8701 669 17 2.61 1.29
Goa 35719 391 1.11 30456 85.27 4803 460 4 0.88 1.29
Puducherry 29277 188 0.65 24221 82.73 4513 543 4 0.74 1.85
Tripura 27030 159 0.59 21853 80.85 4858 296 6 2.07 1.10
Himachal Pradesh 16033 182 1.15 12633 78.79 3156 219 7 3.30 1.37
Chandigarh 12578 133 1.07 10797 85.84 1604 177 3 1.72 1.41
Manipur 12105 250 2.11 9334 77.11 2696 75 1 1.35 0.62
Arunachal Pradesh 10548 0 0.00 7577 71.83 2953 18 0 0.00 0.17
Meghalaya 6765 109 1.64 4491 66.39 2215 59 5 9.26 0.87
Nagaland 6594 42 0.64 5377 81.54 1149 12 0 0.00 0.18
Ladakh 4641 120 2.65 3414 73.56 1166 61 0 0.00 1.31
Andaman and Nicobar Islands 3899 15 0.39 3659 93.84 186 54 1 1.89 1.38
Sikkim 3110 17 0.55 2466 79.29 598 46 1 2.22 1.48
Dadra and Nagar Haveli and Daman and Diu 3090 5 0.16 2959 95.76 101 2 0 0.00 0.06
Mizoram 2120 0 0.00 1837 86.65 283 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2187132 108065 314 0.29 4.94 296 39 9361 16971 15.70
Piemonte 744159 36183 173 0.48 4.86 216 13 3370 4167 11.52
Emilia-Romagna 1214835 35922 179 0.50 2.96 212 11 4954 4486 12.49
Veneto 1973945 28624 261 0.92 1.45 178 20 4235 2194 7.66
Lazio 926458 17509 244 1.41 1.89 737 48 7933 939 5.36
Toscana 774753 15579 188 1.22 2.01 99 26 3962 1166 7.48
Campania 627532 14337 412 2.96 2.28 450 41 7400 465 3.24
Liguria 324170 13869 121 0.88 4.28 167 23 1877 1610 11.61
Puglia 424869 8234 151 1.87 1.94 231 13 2897 598 7.26
Marche 254464 8143 59 0.73 3.20 24 6 941 992 12.18
Sicilia 506170 7681 85 1.12 1.52 329 24 3247 319 4.15
P.A. Trento 237348 6175 34 0.55 2.60 17 0 629 406 6.57
Friuli Venezia Giulia 425043 4890 50 1.03 1.15 18 5 851 353 7.22
Abruzzo 208336 4577 37 0.81 2.20 70 6 995 481 10.51
Sardegna 198433 4229 111 2.70 2.13 114 20 2279 156 3.69
P.A. Bolzano 182465 3645 32 0.89 2.00 28 0 616 292 8.01
Umbria 213445 2676 72 2.76 1.25 42 4 695 86 3.21
Calabria 209086 2063 19 0.93 0.99 36 2 575 101 4.90
Valle d’Aosta 29842 1333 7 0.53 4.47 6 0 81 146 10.95
Basilicata 76747 920 14 1.55 1.20 15 2 390 33 3.59
Molise 44873 675 15 2.27 1.50 2 0 141 25 3.70

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 78459 1079 1.39 5878 11 0.19 7.49 9189.74 688.48 1 in 109
Ontario 56544 1022 1.84 3026 33 1.10 5.35 3843.44 205.68 1 in 260
Alberta 18357 0 0.00 272 0 0.00 1.48 4159.62 61.63 1 in 240
British Columbia 9381 0 0.00 238 0 0.00 2.54 1835.48 46.57 1 in 545
Manitoba 2140 32 1.52 23 1 4.55 1.07 1553.52 16.70 1 in 644
Saskatchewan 1959 5 0.26 24 0 0.00 1.23 1657.83 20.31 1 in 603
Nova Scotia 1089 0 0.00 65 0 0.00 5.97 1114.12 66.50 1 in 898
Newfoundland and Labrador 277 1 0.36 4 0 0.00 1.44 531.30 7.67 1 in 1882
New Brunswick 201 0 0.00 2 0 0.00 1.00 257.69 2.56 1 in 3881
Prince Edward Island 61 2 3.39 0 0 NaN 0.00 385.69 0.00 1 in 2593
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5113 105 2.05
Guangdong 1841 8 0.43
Zhejiang 1282 1 0.08
Henan 1281 22 1.72
Shanghai 1022 7 0.68
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 936 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 832 7 0.84
Sichuan 704 3 0.43
Jiangsu 667 0 0.00
Chongqing 585 6 1.03
Fujian 413 1 0.24
Shaanxi 413 3 0.73
Hebei 365 6 1.64
Liaoning 271 2 0.74
Inner Mongolia 268 1 0.37
Guangxi 260 2 0.77
Tianjin 241 3 1.24
Yunnan 211 2 0.95
Shanxi 205 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 22670.68 640.96 1 in 44
India 4946.84 76.69 1 in 202
Brazil 23484.42 699.25 1 in 43
Russia 8367.05 147.13 1 in 120
Colombia 17425.15 544.37 1 in 57
Peru 25538.20 1013.65 1 in 39
Argentina 18036.73 474.77 1 in 55
Spain 16929.53 687.66 1 in 59
Mexico 5895.24 612.14 1 in 170
South Africa 12011.44 299.29 1 in 83
France 9397.06 480.24 1 in 106
United Kingdom 7610.16 638.77 1 in 131
Iran 5812.86 332.15 1 in 172
Chile 26048.70 719.06 1 in 38
Iraq 9907.00 245.60 1 in 101
Bangladesh NA NA 1 in NA
Saudi Arabia 10212.11 148.00 1 in 98
Italy 5379.12 595.01 1 in 186
Turkey 4014.89 104.45 1 in 249
Philippines 3074.33 55.06 1 in 325

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 274565 6647 2.42
Miami-Dade Florida 172205 3334 1.94
Cook Illinois 148381 5256 3.54
Harris Texas 147808 2626 1.78
Maricopa Arizona 143183 3426 2.39
Dallas Texas 83178 1148 1.38
Broward Florida 77934 1420 1.82
Queens New York 73131 7263 9.93
Kings New York 69933 7339 10.49
Clark Nevada 68851 1409 2.05
Riverside California 59991 1231 2.05
Bexar Texas 58678 1332 2.27
San Bernardino California 56275 962 1.71
Orange California 54640 1286 2.35
Bronx New York 53353 4958 9.29
Tarrant Texas 52100 734 1.41
San Diego California 48436 803 1.66
Nassau New York 47246 2201 4.66
Palm Beach Florida 47079 1394 2.96
Suffolk New York 46842 2011 4.29
Hillsborough Florida 42891 671 1.56
Orange Florida 40940 481 1.17
Westchester New York 38475 1454 3.78
Philadelphia Pennsylvania 37502 1815 4.84
Wayne Michigan 35863 2995 8.35
New York New York 33863 3182 9.40
Salt Lake Utah 33599 258 0.77
Kern California 32443 386 1.19
Hidalgo Texas 32406 1740 5.37
Shelby Tennessee 31600 487 1.54
Duval Florida 30985 429 1.38
Milwaukee Wisconsin 30318 545 1.80
Prince George’s Maryland 30004 830 2.77
Travis Texas 29799 429 1.44
Mecklenburg North Carolina 29454 361 1.23
Fresno California 28975 399 1.38
Hennepin Minnesota 28645 944 3.30
Middlesex Massachusetts 28243 2166 7.67
Fulton Georgia 28096 579 2.06
Gwinnett Georgia 28074 414 1.47
Franklin Ohio 28014 630 2.25
Davidson Tennessee 27185 316 1.16
Pima Arizona 25925 627 2.42
El Paso Texas 25569 534 2.09
St. Louis Missouri 25110 819 3.26
Suffolk Massachusetts 24987 1142 4.57
Sacramento California 23076 430 1.86
King Washington 23022 767 3.33
Montgomery Maryland 22976 849 3.70
Cameron Texas 22946 953 4.15
Bergen New Jersey 22734 2046 9.00
Pinellas Florida 22509 763 3.39
Marion Indiana 22282 769 3.45
Santa Clara California 21840 344 1.58
Alameda California 21708 426 1.96
Essex New Jersey 21330 2129 9.98
Fairfax Virginia 21282 590 2.77
Oakland Michigan 21107 1207 5.72
Hudson New Jersey 20897 1519 7.27
Utah Utah 20831 61 0.29
Lee Florida 20780 474 2.28
Nueces Texas 20689 419 2.03
Jefferson Alabama 20666 354 1.71
San Joaquin California 20485 470 2.29
Essex Massachusetts 20465 1296 6.33
Polk Florida 20425 531 2.60
Fairfield Connecticut 20400 1423 6.98
Cobb Georgia 20010 429 2.14
Middlesex New Jersey 19904 1430 7.18
Passaic New Jersey 19237 1256 6.53
DeKalb Georgia 19128 371 1.94
Providence Rhode Island 18927 0 0.00
Oklahoma Oklahoma 18870 197 1.04
Baltimore Maryland 18354 634 3.45
DuPage Illinois 18209 567 3.11
Wake North Carolina 18155 257 1.42
Cuyahoga Ohio 17910 665 3.71
Union New Jersey 17870 1357 7.59
Tulsa Oklahoma 17820 168 0.94
Jefferson Louisiana 17764 571 3.21
Lake Illinois 17520 493 2.81
Contra Costa California 17159 211 1.23
Douglas Nebraska 17075 195 1.14
Stanislaus California 16737 372 2.22
Jefferson Kentucky 16714 314 1.88
Fort Bend Texas 16603 293 1.76
Polk Iowa 16484 271 1.64
Tulare California 16399 265 1.62
Out of GA Georgia 16147 163 1.01
Richmond New York 16137 1086 6.73
Charleston South Carolina 16026 267 1.67
Rockland New York 16016 677 4.23
Baltimore City Maryland 15954 486 3.05
Richland South Carolina 15719 249 1.58
Collin Texas 15568 152 0.98
District of Columbia District of Columbia 15519 631 4.07
East Baton Rouge Louisiana 15307 443 2.89
Macomb Michigan 15107 1032 6.83
Hartford Connecticut 14989 1439 9.60
Greenville South Carolina 14958 313 2.09

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc